A concept map is a schematic resource to represent and organize a set of meanings in a propositional structure. In a learning process, the practice of making and remaking concept maps might be considered as an effort to find out concepts and their meanings, giving rise to the knowledge in an explicit way. Computer aided programs can make the choice to use concept maps easier than before. Over the last few years, many basic functions in concept maps building, such as publishing and sharing, were facilitated by computer aided programs. An increasing interest in applying computational resources to automatically build concept maps from data sources by extracting concepts and linking words has emerged recently. In this thesis, we propose an approach focused on the recognition of concept maps core elements in texts and, in addition, we expose the results of the experiment conducted in the Brazilian Portuguese Language.